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mistral7b_finetune

fine tuning mistral 7B using Huggingface, Weights and Biases, Choline, and Vast AI

neptune-catalyst

neptune-keras-example

playground-wmnwe3nz

Tech.io playground

practical-deep-learning-for-coders-2.0

Notebooks for the "A walk with fastai2" Study Group and Lecture Series

project-time-series

pytorch-ddp

code for the ddp tutorial

quickcnn

:deciduous_tree: ConvNet architectures on Google-Colaboratory

sacred

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

scikit-learn

scikit-learn: machine learning in Python

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

semantic-segmentation-suite

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

seq2seq-pytorch-fastai

Explorations in building seq2seq models using PyTorch and fast.ai

sleeper-agents-paper

Contains random samples referenced in the paper "Sleeper Agents: Training Robustly Deceptive LLMs that Persist Through Safety Training".

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

twooter-tutorial-vue

udacity-dog-app

weak-to-strong

you-dont-need-a-bigger-boat

An end-to-end implementation of intent prediction with Metaflow and other cool tools